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integrating specialized veteran-centric competencies and understanding of military culture. Field Liaisons serve as the bridge between agency, student, and school, helping to facilitate integrative learning
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[map ] Subject Areas: Mathematics; Physics; Astrophysics; High Performance Computing; Machine Learning Appl Deadline: 2025/12/15 11:59PM (posted 2025/11/20, updated 2025/11/03, listed until 2026/05/15
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Position Summary(Basic Job Function) This is a temporary or an on-call position. Provides technical support. Responsibilities may include computer programming or operations; research support
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. Foundational kinetic models often have N∼256 and d≥6, making direct numerical simulation intractable with traditional approaches. Through innovative work combining machine learning with new paradigms for direct
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of freedom per dimension d. Foundational kinetic models often have N∼256 and d≥6, making direct numerical simulation intractable with traditional approaches. Through innovative work combining machine learning
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; extensive knowledge of computer software including Microsoft products, Outlook email, Titanium, and Athena electronic health records; understanding of HIPAA/patient confidentiality; critical decision-making
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electronics, and industrial automation—and help prepare the TechE program for the expansion of new learning laboratories scheduled for completion in Fall 2027. This is an off-date position with an initial
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research experience and record in machine learning and deep learning modeling of biomolecular systems, structural and/or sequence bioinformatics. Research backgrounds in computational biophysics
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planning and life-long learning; Recruit and retain a diverse staff of well qualified and high performing professionals; Create a positive work environment for employees, incorporating the University's
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will expect candidates with research experience and record in machine learning and deep learning modeling of biomolecular systems, structural and/or sequence bioinformatics. Research backgrounds in